Pyappcache is a library to make it easier to use application-level caching in Python.

• Allows putting arbitrary Python objects into the cache
• Uses PEP484 type hints to help you typecheck cache return values
• Supports Memcache, Redis and SQLite
• Supports working as a "read-through" and "write-through" cache
• Native support for key "namespacing"
• Provides a few handy extras
  • A plugin for the cachecontrol library so you can also use it as an HTTP cache with requests

from datetime import date

from pyappcache.redis import RedisCache
from pyappcache.keys import Key, SimpleStringKey

cache = RedisCache()

# Annotate the type here to let mypy know this key is used for dates
key: Key[date] = SimpleStringKey("mifid start date")
cache.set(key, date(2018, 1, 3), ttl_seconds=3600)

... # later...

# This variable's type will be inferred as datetime.date
special_date = cache.get(key)

• Explicit key objects allow for type inference and encapsulation of keying
• Keys are prefix to help prevent collisions
• Optional, pluggable, compression
• Hopefully the overhead is small (not yet tested!)
• Portable between redis/memcache/sqlite, etc

• Explicit key objects allow for type inference and encapsulation of keying
• dogpile.cache provides locking, pyappcache does not
• Reduced temptation to use the problematic decorator pattern
  • This often causes import order problems as you need to have your cache at import time
• Pyappache doesn't provide DBM/file backends, SQLite instead